Domain‑specific assistants, compliance, governance, and agentic business workflows.
Modern enterprises adopt LLMs by combining modular components: domain‑specific assistants, strict governance, compliance controls, and agentic workflows that connect multiple systems together safely and intelligently.
Custom LLM instances tuned for finance, HR, operations, legal, and engineering.
Guardrails, access controls, audit logs, policy enforcement, and data‑classification‑aware responses.
Multi‑step autonomous processes that interact with APIs, approvals, and enterprise systems.
ETL, vectorization, metadata, classification.
Compliance, risk scoring, redaction, permissions.
Task routing, tool use, reasoning, workflow execution.
Reports, automations, system actions, insights.
By enforcing policies, filtering inputs/outputs, and maintaining audit logs.
Custom data, workflows, tools, and reasoning patterns for the business unit.
They automate multi‑step tasks with decision‑making and system integration.
Build secure, compliant, domain‑specific AI systems.